code: def forward(self, x: torch.Tensor, attn_mask: torch.Tensor):
      if self.layer_scale_type is None:
          x = x + self.drop_path(self.attn(self.norm_1(x), attn_mask))
          x = x + self.drop_path(self.mlp(self.norm_2(x)))
      else:
          x = (
              x
              + self.drop_path(self.attn(self.norm_1(x), attn_mask))
              * self.layer_scale_gamma1
          )
          x = (
              x
              + self.drop_path(self.mlp(self.norm_2(x)))
              * self.layer_scale_gamma2
          )
      return x
  
imports: from functools import partial
  from typing import Callable, List, Optional
  import torch
  import torch.nn
  import torch.utils.checkpoint
  from timm.models.layers import DropPath, trunc_normal_
label_desc: Use image node_id 2 for calling the BlockWithMasking obj's underlying member method code with example usage: obj.forward(x, attn_mask) and returns: x